Skip to content

RuntimeError: CUDA error: CUDA-capable device(s) is/are busy or unavailable CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions. #159

Description

@nathansenjaya

When I tried to load starcoder based on tutorial provided, RuntimeError emerges because of CUDA error, but torch.cuda.is_available() returns True. The gpu that I run this on is provided below, Can anyone help me with this ?
image

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions